Assistant Professor – Methodology & Statistics for Impact

Maastricht University; Maastricht; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Gross monthly salary €4,925–€6,682

8% holiday allowance

8.3% year-end bonus

29 vacation days

Flexible working hours

Home office allowance

Work from home option

ABP pension

Fitness schemes

University sports facilities

Inspiring work environment

Job summary

Maastricht University invites applications for an Assistant Professor in Methodology and Statistics within the Faculty of Psychology and Neuroscience. You will develop methodological and statistical approaches while contributing to high-quality research and education.

The role emphasizes collaboration across disciplines and innovative teaching, with a focus on Bayesian inference, causal inference, and multilevel modelling.

Qualifications

• Academic expertise in methodology and statistics.
• PhD in Statistics, Psychometrics, Biometrics, Econometrics or related field and active publications.

Responsibilities

• Contribute to education and research in methodology and statistics.
• Inspire psychology students to develop methodological and statistical skills.
• Teach and coordinate statistics and methodology courses in degree programs.
• Develop and evaluate educational activities and teaching materials.
• Conduct independent and collaborative research in Bayesian, causal and network methods.
• Provide methodological and statistical support to students and staff.
• Collaborate with interdisciplinary teams across faculties.
• Contribute to methodological innovation across the university.

Skills

Academic expertise

Strong analytical

Programming (R)

Collaborative

Education

PhD in Statistics or related field

Tools

R

JASP

Job description

Maastricht University invites applications for an Assistant Professor in Methodology and Statistics within the Faculty of Psychology and Neuroscience. You will develop methodological and statistical approaches while contributing to high-quality research and education.

The role emphasizes collaboration across disciplines and innovative teaching, with a focus on Bayesian inference, causal inference, and multilevel modelling.